Evidence map›Paper›PMID 33439228›Full record

ArticleInvestigative ophthalmology & visual science2021

Differential Tissue Metabolic Signatures in IgG4-Related Ophthalmic Disease and Orbital Mucosa-Associated Lymphoid Tissue Lymphoma.

Hiroyuki Shimizu, Yoshihiko Usui, Ryo Wakita, Yasuko Aita, Atsumi Tomita, Kinya Tsubota, Masaki Asakage, Naoya Nezu, Hiroyuki Komatsu, Kazuhiko Umazume and 2 more

Open access · goldAbstract readComparative Study
In one paragraph

Article in Investigative ophthalmology & visual science, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
1.8field-weighted citation impact, top 16% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

16 citing papers in PubMed, 20 citations in OpenAlex.

  1. Review
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  4. Omics in IgG4-related disease.Chinese medical journal · 2025
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  9. Artificial intelligence-based differential diagnosis of orbital MALT lymphoma and IgG4 related ophthalmic disease using hematoxylin-eosin images.Graefe's archive for clinical and experimental ophthalmology = Albrecht von Graefes Archiv fur klinische und experimentelle Ophthalmologie · 2024
    Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors at 1 institution in 1 country.

Hiroyuki ShimizuDepartment of Ophthalmology, Tokyo Medical University, Tokyo, Japan.
Yoshihiko UsuiDepartment of Ophthalmology, Tokyo Medical University, Tokyo, Japan.
Ryo WakitaDepartment of Ophthalmology, Tokyo Medical University, Tokyo, Japan.
Yasuko AitaResearch and Development Center for Minimally Invasive Therapies, Institute of Medical Science, Tokyo Medical University, Shinjuku, Tokyo, Japan.
Atsumi TomitaResearch and Development Center for Minimally Invasive Therapies, Institute of Medical Science, Tokyo Medical University, Shinjuku, Tokyo, Japan.
Kinya TsubotaDepartment of Ophthalmology, Tokyo Medical University, Tokyo, Japan.
Masaki AsakageDepartment of Ophthalmology, Tokyo Medical University, Tokyo, Japan.
Naoya NezuDepartment of Ophthalmology, Tokyo Medical University, Tokyo, Japan.
Hiroyuki KomatsuDepartment of Ophthalmology, Tokyo Medical University, Tokyo, Japan.
Kazuhiko UmazumeDepartment of Ophthalmology, Tokyo Medical University, Tokyo, Japan.
Masahiro SugimotoResearch and Development Center for Minimally Invasive Therapies, Institute of Medical Science, Tokyo Medical University, Shinjuku, Tokyo, Japan.
Hiroshi GotoDepartment of Ophthalmology, Tokyo Medical University, Tokyo, Japan.
Tokyo Medical University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: To identify tissue metabolomic profiles in biopsy specimens with IgG4-related ophthalmic disease (IgG4-ROD) and mucosa-associated lymphoid tissue (MALT) lymphoma and investigate their potential implication in the disease pathogenesis and biomarkers. Methods: We conducted a comprehensive analysis of the metabolomes and lipidomes of biopsy-proven IgG4-ROD (n = 22) and orbital MALT lymphoma (n = 21) specimens and matched adjacent microscopically normal adipose tissues using liquid chromatography time-of-flight mass spectrometry. The altered metabolomic profiles were visualized by heat map and principal component analysis. Metabolic pathway analysis was performed by Metabo Analyst 4.0 using differentially expressed metabolites. The diagnostic performance of the metabolic markers was evaluated using receiver operating characteristic curves. Machine learning algorithms were implemented by random forest using the R environment. Finally, an independent set of 18 IgG4-ROD and 17 orbital MALT lymphoma specimens were used to validate the identified biomarkers. Results: The principal component analysis showed a significant difference of both IgG4-ROD and orbital MALT lymphoma for biopsy specimens and controls. Interestingly, lesions in IgG4-ROD were uniquely enriched in arachidonic metabolism, whereas those in orbital MALT lymphoma were enriched in tricarboxylic acid cycle metabolism. We identified spermine as the best discriminator between IgG4-ROD and orbital MALT lymphoma, and the area under the receiver operating characteristic curve of the spermine to discriminate between the two diseases was 0.89 (95% confidence interval, 0.803-0.984). A random forest model incorporating a panel of five metabolites showed a high area under the receiver operating characteristic curve value of 0.983 (95% confidence interval, 0.981-0.984). The results of validation revealed that four tissue metabolites: N1,N12-diacetylspermine, spermine, malate, and glycolate, had statistically significant differences between IgG4-ROD and orbital MALT lymphoma with receiver operating characteristic values from 0.708 to 0.863. Conclusions: These data revealed the characteristic differences in metabolomic profiles between IgG4-ROD and orbital MALT lymphoma, which may be useful for developing new diagnostic biomarkers and elucidating the pathogenic mechanisms of these common orbital lymphoproliferative disorders.

Indexed as

AdultAgedAged, 80 and overBiomarkers, TumorChromatography, High Pressure LiquidFemaleGlycolatesHumansImmunoglobulin GLymphoma, B-Cell, Marginal ZoneMalatesMaleMass SpectrometryMetabolomeMetabolomicsMiddle AgedBiomarkers, TumorGlycolatesglycolic acidImmunoglobulin GMalatesmalic acidN',N''-diacetylspermineSpermine

Identifiers

PMID33439228
PMCPMC7814356
OpenAlexW3119930010

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.